An artificial life approach to studying niche differentiation in soundscape ecology

Kadish, David; Risi, Sebastian; Beloff, Laura

doi:10.1162/isal_a_00140

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Looking at hybrid interactions involving also biological systems other than humans, Kadish et al (2019) propose to investigate niche differentiation, that is, how competing species use the environment in different ways to be able to coexist, in hybrid societies using soundscape ecology, the study of acoustic relationships between organisms. Luthra and Todd (2021) focus instead on social search, that is, the use of social information to locate resources, paving the way for a formal study of some of the possible mechanisms leading to information sharing in, among others, hybrid interacting systems (e.g., odors in Halloy et al, 2007).…”

Section: Special Sessions 2018–2022—a Reportmentioning

confidence: 99%

Hybrid Life: Integrating biological, artificial, and cognitive systems

Baltieri

Iizuka

Witkowski

et al. 2023

WIRES Cognitive Science

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Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural, and computational sciences. Artificial life aims to foster a comprehensive study of life beyond “life as we know it” and toward “life as it could be,” with theoretical, synthetic, and empirical models of the fundamental properties of living systems. While still a relatively young field, artificial life has flourished as an environment for researchers with different backgrounds, welcoming ideas, and contributions from a wide range of subjects. Hybrid Life brings our attention to some of the most recent developments within the artificial life community, rooted in more traditional artificial life studies but looking at new challenges emerging from interactions with other fields. Hybrid Life aims to cover studies that can lead to an understanding, from first principles, of what systems are and how biological and artificial systems can interact and integrate to form new kinds of hybrid (living) systems, individuals, and societies. To do so, it focuses on three complementary perspectives: theories of systems and agents, hybrid augmentation, and hybrid interaction. Theories of systems and agents are used to define systems, how they differ (e.g., biological or artificial, autonomous, or nonautonomous), and how multiple systems relate in order to form new hybrid systems. Hybrid augmentation focuses on implementations of systems so tightly connected that they act as a single, integrated one. Hybrid interaction is centered around interactions within a heterogeneous group of distinct living and nonliving systems. After discussing some of the major sources of inspiration for these themes, we will focus on an overview of the works that appeared in Hybrid Life special sessions, hosted by the annual Artificial Life Conference between 2018 and 2022.This article is categorized under: Neuroscience > Cognition Philosophy > Artificial Intelligence Computer Science and Robotics > Robotics

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Section: Special Sessions 2018–2022—a Reportmentioning

confidence: 99%

Hybrid Life: Integrating biological, artificial, and cognitive systems

Baltieri

Iizuka

Witkowski

et al. 2023

WIRES Cognitive Science

View full text Add to dashboard Cite

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Explaining the Neuroevolution of Fighting Creatures Through Virtual fMRI

2023

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While interest in artificial neural networks (ANNs) has been renewed by the ubiquitous use of deep learning to solve high-dimensional problems, we are still far from general artificial intelligence. In this article, we address the problem of emergent cognitive capabilities and, more crucially, of their detection, by relying on co-evolving creatures with mutable morphology and neural structure. The former is implemented via both static and mobile structures whose shapes are controlled by cubic splines. The latter uses ESHyperNEAT to discover not only appropriate combinations of connections and weights but also to extrapolate hidden neuron distribution. The creatures integrate low-level perceptions (touch/pain proprioceptors, retina-based vision, frequency-based hearing) to inform their actions. By discovering a functional mapping between individual neurons and specific stimuli, we extract a high-level module-based abstraction of a creature’s brain. This drastically simplifies the discovery of relationships between naturally occurring events and their neural implementation. Applying this methodology to creatures resulting from solitary and tag-team co-evolution showed remarkable dynamics such as range-finding and structured communication. Such discovery was made possible by the abstraction provided by the modular ANN which allowed groups of neurons to be viewed as functionally enclosed entities.

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An artificial life approach to studying niche differentiation in soundscape ecology

Cited by 2 publications

References 18 publications

Hybrid Life: Integrating biological, artificial, and cognitive systems

Hybrid Life: Integrating biological, artificial, and cognitive systems

Explaining the Neuroevolution of Fighting Creatures Through Virtual fMRI

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